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graphon : A Collection of Graphon Estimation Methods

graphon package provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks.

Installation

You can install the released version from CRAN with:

install.packages("graphon")

or the development version from github:

## install.packages("devtools")
devtools::install_github("kisungyou/graphon")

Code of Conduct

Please note that the 'graphon' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

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Version

Install

install.packages('graphon')

Monthly Downloads

488

Version

0.3.2

License

GPL (>= 3)

Maintainer

Kisung You

Last Published

May 10th, 2019

Functions in graphon (0.3.2)

est.nbdsmooth

Estimate edge probabilities by neighborhood smoothing
graphon-package

graphon : A Collection of Graphon Estimation Methods
est.SBA

Estimate graphons based on Stochastic Blockmodel approximation
est.completion

Estimate graphons based on matrix completion scheme
est.LG

Estimate graphons based on empirical degrees
cv.SBA

Cross validation for selecting optimal precision parameter in SBA method.
gmodel.P

Generate graphs given a probability matrix
gmodel.preset

Generate one of pre-specified graphons.
gmodel.ER

Observations from Erdos-Renyi random graph model
gmodel.block

Generate binary random graphs based on stochastic blockmodel
est.USVT

Estimate graphons based via Universal Singular Value Thresholding